{"id":"W2890548543","doi":"10.1038/s41598-018-32504-0","title":"Adaptive Gaze Strategies to Reduce Environmental Uncertainty During a Sequential Visuomotor Behaviour","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Gaze; Task (project management); Computer science; Foot (prosody); Cognitive psychology; Artificial intelligence; Computer vision; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002825813,0.0003333779,0.0002125207,0.0003053419,0.0002069313,0.0004065082,0.000253752,0.0002979985,0.001132458],"category_scores_gemma":[0.002127319,0.0001985682,0.000146292,0.0001386332,0.0002735252,0.0004093442,0.0006038017,0.0003324011,0.0001604203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222355,"about_ca_system_score_gemma":0.00028431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572549,"about_ca_topic_score_gemma":0.003397956,"domain_scores_codex":[0.9998291,0.00003671492,0.00001019179,0.00005326291,0.00004315394,0.00002755002],"domain_scores_gemma":[0.9995079,0.0001913469,0.0001235789,0.00006796318,0.00007140326,0.00003781465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003630409,0.00008356723,0.0117433,0.00009932451,0.00004844699,0.0001143185,0.0008237059,0.004905737,0.9430585,0.0009273752,0.0002406763,0.03759204],"study_design_scores_gemma":[0.0001453688,0.001982658,0.6620499,0.000121316,0.0001323006,0.0006726632,0.001132113,0.1175973,0.2036179,0.007846493,0.004586231,0.0001156508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749054,0.0003157991,0.02336751,0.00007788523,0.000008572741,0.00002809728,0.0000391275,0.000140191,0.001117368],"genre_scores_gemma":[0.9917673,0.0001097638,0.007500172,0.00001912617,0.00000429699,0.00002027264,0.00003496133,0.00002411861,0.0005199398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002572549,"threshold_uncertainty_score":0.005115151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313994220139234,"score_gpt":0.3249676451396151,"score_spread":0.2718277029382228,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}